论文成果
- 周凯,刘后广,杨建华,Zhao, Yu,Rao, Zhushi,Yang, Shanguo.Influence of middle ear disorder in round-window stimulation using a finite element human ear model,2019,卷: 21期: 1页: 3-12
- Huang, Dawen,杨建华,Zhou, Dengji,Sanjuan, Miguel A.F.,刘后广.Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method,2019,v 66,p156-166
- 黄大文,杨建华,唐超权,张景玲,刘后广.二阶系统普通变尺度随机共振及轴承故障诊断,2018,2018年06期:1260-1266+1299,8
- 张景玲,杨建华,唐超权,黄大文,刘后广.基于周期势系统随机共振的轴承故障诊断,2018,2018年08期:989-995,7
- 黄大文,杨建华,张景玲,刘后广.An improved adaptive stochastic resonance method for improving efficiency of bearing faults diagnosis,2018,232;13;2352-2368
- 黄大文,杨建华,张景玲,刘后广.An improved adaptive stochastic resonance with general scale transformation to extract high-frequency characteristics in strong noise,2018,32;15;1850185
- 刘后广,Cheng, Jinlei,杨建华,Rao, Zhushi,程刚,Yang, Shanguo,Huang, Xinsheng,Wang, Mengli.Concept and Evaluation of a New Piezoelectric Transducer for an Implantable Middle Ear Hearing Device,2017,卷: 17期: 11
- 刘后广,韩帅,杨建华,刘送永.Improving the weak feature extraction by adaptive stochastic resonance in cascaded piecewise‑linear system and its application in bearing fault detection,2017,19;4;
- 刘后广,Han, Shuai,杨建华,刘送永.Improving the weak feature extraction by adaptive stochastic resonance in cascaded piecewise-linear system and its application in bearing fault detection,2017,卷: 19期: 4页: 2506-2520
- 刘后广,Xu, Dan,杨建华,Yang, Shanguo,程刚,Huang, Xinsheng.Analysis of the influence of the transducer and its coupling layer on round window stimulation,2017,卷: 19期: 2页: 103-111